Spectral Subspace Clustering for Graphs with Feature Vectors.
Stephan GünnemannInes FärberSebastian RaubachThomas SeidlPublished in: ICDM (2013)
Keyphrases
- subspace clustering
- feature vectors
- subgraph mining
- high dimensional data
- clustering method
- subspace clusters
- clustering high dimensional data
- high dimensional
- clustering algorithm
- feature space
- graph matching
- similarity measure
- feature extraction
- euclidean distance
- high dimensionality
- pattern recognition
- graph databases
- clustering approaches
- machine learning
- subspace projections
- hyperspectral
- weighted graph
- graph model
- face images
- database
- nearest neighbor
- feature selection
- computer vision
- information retrieval
- neural network
- data sets